ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Utterance Verification Using Search Confusion Rate and Its N-Best Approach

  • Kim, Kyu-Hong (School of Engineering, Information and Communications University) ;
  • Kim, Hoi-Rin (School of Engineering, Information and Communications University) ;
  • Hahn, Min-Soo (School of Engineering, Information and Communications University)
  • Received : 2005.03.28
  • Published : 2005.08.31
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Abstract

Recently, a variety of confidence measures for utterance verification has been studied to improve speech recognition performance by rejecting out-of-vocabulary inputs. Most of the conventional confidence measures for utterance verification are based primarily on hypothesis testing or an approximated posterior probability, and their performances depend on the robustness of an alternative hypothesis or the prior probability. We introduce a novel confidence measure called a search confusion rate (SCR), which does not require an alternative hypothesis or the approximation of posterior probability. Our confusion-based approach shows better performance in additive noise-corrupted speech as well as in clean speech.

Keywords

References

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